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Project: Analyzing Students' Mental Health in SQL
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  • Does going to university in a different country affect your mental health? A Japanese international university surveyed its students in 2018 and published a study the following year that was approved by several ethical and regulatory boards.

    The study found that international students have a higher risk of mental health difficulties than the general population, and that social connectedness (belonging to a social group) and acculturative stress (stress associated with joining a new culture) are predictive of depression.

    Explore the students data using PostgreSQL to find out if you would come to a similar conclusion for international students and see if the length of stay is a contributing factor.

    Here is a data description of the columns you may find helpful.

    Field NameDescription
    inter_domTypes of students (international or domestic)
    japanese_cateJapanese language proficiency
    english_cateEnglish language proficiency
    academicCurrent academic level (undergraduate or graduate)
    ageCurrent age of student
    stayCurrent length of stay in years
    todepTotal score of depression (PHQ-9 test)
    toscTotal score of social connectedness (SCS test)
    toasTotal score of acculturative stress (ASISS test)
    Unknown integration
    DataFrameavailable as
    students
    variable
    -- Run this code to save the CSV file as students
    SELECT * 
    FROM 'students.csv';
    This query is taking long to finish...Consider adding a LIMIT clause or switching to Query mode to preview the result.
    Unknown integration
    DataFrameavailable as
    df
    variable
    -- Start coding here...
    
    -- Number of records
    SELECT 
    	COUNT(*) AS total_records
    FROM students;
    
    -- Number of records by student type
    SELECT 
        inter_dom,
        COUNT(*) count_inter_dom
    FROM students
    GROUP BY inter_dom;
    
    -- Filter for domestic studens
    SELECT 
    	*
    FROM students
    WHERE inter_dom = 'Dom';
    
    -- Filter for international students
    SELECT 
    	*
    FROM students
    WHERE inter_dom = 'Inter';
    
    -- Filter for uncategorized students
    SELECT 
    	*
    FROM students
    WHERE inter_dom IS NULL;
    
    -- Query the summary statistics of the diagnostics scores for all students
    SELECT
    	inter_dom,
    	MIN(todep) AS min_phq,
    	MAX(todep) AS max_phq,
    	ROUND(AVG(todep), 2) AS avg_phq,
    	MIN(tosc) AS min_scs,
    	MAX(tosc) AS max_scs,
    	ROUND(AVG(tosc), 2) AS avg_scs,
    	MIN(toas) AS min_as,
    	MAX(toas) AS max_as,
    	ROUND(AVG(toas), 2) AS avg_as
    FROM students
    GROUP BY inter_dom;
    
    -- Summarize the data for international students only
    SELECT
    	inter_dom,
    	MIN(todep) AS min_phq,
    	MAX(todep) AS max_phq,
    	ROUND(AVG(todep), 2) AS avg_phq,
    	MIN(tosc) AS min_scs,
    	MAX(tosc) AS max_scs,
    	ROUND(AVG(tosc), 2) AS avg_scs,
    	MIN(toas) AS min_as,
    	MAX(toas) AS max_as,
    	ROUND(AVG(toas), 2) AS avg_as
    FROM students
    WHERE inter_dom = 'Inter'
    GROUP BY inter_dom;
    
    -- See the impact of length of stay
    SELECT
    	stay,
    	ROUND(AVG(todep), 2) AS average_phq,
    	ROUND(AVG(tosc), 2) AS average_scs,
    	ROUND(AVG(toas), 2) AS average_as
    FROM students
    WHERE inter_dom = 'Inter'
    GROUP BY stay
    ORDER BY stay DESC;
    This query is taking long to finish...Consider adding a LIMIT clause or switching to Query mode to preview the result.